DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Brytlyt vs. InfluxDB vs. Kinetica vs. Oracle Berkeley DB

System Properties Comparison Brytlyt vs. InfluxDB vs. Kinetica vs. Oracle Berkeley DB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDBMS for storing time series, events and metricsGPU-accelerated database for real-time analysis of large and streaming datasetsWidely used in-process key-value store
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#279  Overall
#129  Relational DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score2.91
Rank#90  Overall
#16  Key-value stores
#2  Native XML DBMS
Websitewww.brytlyt.comwww.influxdata.com/­time-series-platform/­influxdbwww.kinetica.comwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationdocs.influxdata.com/­influxdbwww.kinetica.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperBrytlytKineticaOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2016201320121994
Current release0.9, October 20161.7.8, August 20196.018.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoC, C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML-type available, but no XML query functionality.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP API
JSON over UDP
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnouser defined functionsno
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infoin enterprise version onlyMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsAccess rights for users and roles on table levelno
More information provided by the system vendor
BrytlytInfluxDBKineticaOracle Berkeley DB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BrytlytInfluxDBKineticaOracle Berkeley DB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

Brytlyt Makes Ground-breaking Progress on the TPC-H Benchmark
17 April 2019, PRNewswire

Brytlyt Release Version 3.0 of the World's Fastest GPU Database
4 March 2019, PRNewswire

Graphics Processing Unit Database Market 2019|by Top Key Players- Zilliz, Brytlyt, Jedox AG
6 November 2019, TheLoop21

GPU Database Market is set to Experience a Revolutionary growth in future
10 November 2019, Daily Market Insight

GPU Database Market to Undertake Strapping Growth at +20% CAGR by the End 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
21 October 2019, Market Expert

provided by Google News

InfluxData Launches Enterprise-Class Time Series Solution as a Cloud Service
30 October 2019, Integration Developers

A guide to APM solutions
4 November 2019, SDTimes.com

How these companies can help you monitor your applications
4 November 2019, SDTimes.com

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

An Introduction to InfluxDB
5 August 2019, The Collegian

provided by Google News

Kinetica Active Analytics Platform Releases Out-of-Box Support for NVIDIA RAPIDS, Delivering Massive Performance Boost to Predictive Data Analytics
5 November 2019, Yahoo Finance

Kinetica Collaborates with NVIDIA to Serve Real-time Data-driven Insights
6 November 2019, MarTech Advisor

GPU Database Market Overview and Market Forecast (2019-2025) | key players- Kinetica, Omnisci, Sqream
7 November 2019, The Chicago Sentinel

Global GPU Database Market Analysis 2019 – 2023 : Kinetica, Omnisci, Sqream, Neo4j, Nvidia
8 November 2019, The Chicago Sentinel

Kinetica opens Melbourne office, bullish on data analytics
23 October 2019, ComputerWeekly.com

provided by Google News

Top Local Databases for React Native App Development {A 2020 List}
15 October 2019, Appinventiv

The Time Bitcoin (BTC) Accidentally Forked in March 2013, and Someone Sent a $10000 Double Spend at That Exact Moment – Crypto.IQ | Bitcoin and Investment News from Inside Experts You Can Trust
23 October 2019, CryptoIQ

Getting Started with Oracle Berkeley DB
5 July 2015, DZone News

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

provided by Google News

Job opportunities

2nd Shift DevOps Engineer (Weekend Schedule), Wayfair Operations Center
Wayfair, Boston, MA

Ops AI Infrastructure Engineer- Distributed Systems on AWS/GCP
Cisco Careers, San Jose, CA

DevOps Inventory Engineer Analyst
Medical Science & Computing, Inc., Bethesda, MD

Robotics Software, Front End Engineer
Creator, San Francisco, CA

NOC Technician
Bird Rides Inc., Santa Monica, CA

Principal Solutions Engineer (Federal)
Kinetica DB, Arlington, VA

Machine Learning Engineer
BAIN & COMPANY, Los Angeles, CA

Database Engineer, Senior
Independent Software, Annapolis Junction, MD

Senior Systems Engineer
DeNovo Solutions, Annapolis Junction, MD

Senior Developer
Spectrum Systems, Riverwoods, IL

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Present your product here